ABSTRACT
Systems biology and its offspring, sometimes called Network Medicine, takes a more wholistic approach, looking at all the diverse genetic, metabolic, and environmental factors that contribute to clinical disease. Equally important, it looks at the preclinical manifestations of pathology. Systems biology researchers have also demonstrated that the concentrations of essential enzymes and other proteins are in a state of constant change, making any static measurement of less value than assessment of these parameters over time, taking into account circadian rhythms and external stressors. Although the concepts and research supporting a systems biology approach to medicine are sound, critics will no doubt question whether they can be applied in patient care as it’s practiced. Clustering is one example of unsupervised machine learning. It seeks to identify groupings within the data and similarities within the data that suggest subsections and patterns.
